STAT44%

Roche 14%

By Meghana Keshavan0% John Wilkerson0%

7/10/2026, 1:35:37 PM

BS Summary: This article contains 11 faulty reasoning types, including Negativity Bias, Optimism Bias, and Anecdotal, with Attempt to Sell a Product or Service as the most egregious example at 24.1% saturation with 76 hits. Analysis detected 280 faulty-reasoning hits from 315 analyzed words, generating a BS Score of 30% and a BS Rank of 14% (19,022 of 21,886 articles). This article is better (less manipulative) than 86.90% of the article peer group.

Newsletter The Readout 
Roche ends Huntington’s gene-silencing programs 
ARPA-H launches bespoke gene therapy push, Lilly and Novo to promote Bridge program, and more biotech news from The Readout 
SEBASTIEN BOZON/AFP via Getty Images 
By Meghana Keshavan and John Wilkerson 
Meghana Keshavan covers biotech and contributes to The Readout newsletter . 
John writes about the politics of health care, and he is the author of the twice-weekly D.C. 
Diagnosis newsletter . 
You can reach John on Signal at John_Wilkerson.07. 
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ARPA-H has unveiled a $160 million effort to speed bespoke gene-editing therapies for rare diseases into the clinic. 
Meanwhile, Roche has abandoned two Huntington’s gene-silencing drugs after disappointing data, and drugmakers have stepped in to promote Medicare’s new obesity drug discount program. 
I got coffee with my cousin this morning here in SF. 
Before leaving for his job at an AI behemoth, he said the bone-chilling July gloom is perfect “working weather.” 
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STAT Plus: ARPA-H launches $160 million effort to develop custom gene editing drugs 
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Article reasoning-pattern comparisonThis article: 0.0%Meghana Keshavan: 0.0%STAT: 3.4%Confirmation Bias0.0%This article: 1.3%Meghana Keshavan: 0.8%STAT: 1.3%Anchoring Bias1.3%This article: 0.0%Meghana Keshavan: 0.0%STAT: 3.9%Availability Heuristic0.0%This article: 0.0%Meghana Keshavan: 0.0%STAT: 1.0%Representativeness Heuristic0.0%This article: 1.3%Meghana Keshavan: 0.0%STAT: 0.4%Hindsight Bias1.3%This article: 0.0%Meghana Keshavan: 0.0%STAT: 1.3%Overconfidence Bias0.0%This article: 6.7%Meghana Keshavan: 0.6%STAT: 8.2%Framing Effect6.7%This article: 7.3%Meghana Keshavan: 0.0%STAT: 0.7%Loss Aversion7.3%This article: 0.0%Meghana Keshavan: 0.0%STAT: 0.9%Status Quo Bias0.0%This article: 0.0%Meghana Keshavan: 0.0%STAT: 0.2%Sunk Cost Effect0.0%This article: 11.4%Meghana Keshavan: 0.0%STAT: 3.3%Optimism Bias11.4%This article: 0.0%Meghana Keshavan: 0.0%STAT: 1.8%Pessimism Bias0.0%This article: 14.0%Meghana Keshavan: 7.0%STAT: 8.5%Negativity Bias14.0%This article: 0.0%Meghana Keshavan: 0.0%STAT: 1.1%Self-Serving Bias0.0%This article: 0.0%Meghana Keshavan: 0.0%STAT: 0.4%Fundamental Attribution Error0.0%This article: 0.0%Meghana Keshavan: 0.0%STAT: 0.1%Actor-Observer Bias0.0%This article: 0.0%Meghana Keshavan: 0.0%STAT: 0.4%In-Group Bias0.0%This article: 0.0%Meghana Keshavan: 0.0%STAT: 0.1%Out-Group Homogeneity Bias0.0%This article: 0.0%Meghana Keshavan: 0.0%STAT: 1.3%Halo Effect0.0%This article: 0.0%Meghana Keshavan: 0.0%STAT: 0.1%Horn Effect0.0%This article: 0.0%Meghana Keshavan: 0.0%STAT: 0.0%Dunning-Kruger Effect0.0%This article: 4.1%Meghana Keshavan: 0.0%STAT: 1.6%Recency Bias4.1%This article: 0.0%Meghana Keshavan: 0.0%STAT: 0.4%Primacy Effect0.0%This article: 0.0%Meghana Keshavan: 0.0%STAT: 0.1%Blind-Spot Bias0.0%This article: 0.0%Meghana Keshavan: 0.0%STAT: 0.4%Ad Hominem0.0%This article: 0.0%Meghana Keshavan: 0.0%STAT: 0.4%Straw Man0.0%This article: 0.0%Meghana Keshavan: 0.0%STAT: 4.7%Appeal to Authority0.0%This article: 0.0%Meghana Keshavan: 0.0%STAT: 1.5%False Dilemma0.0%This article: 0.0%Meghana Keshavan: 0.0%STAT: 1.2%Slippery Slope0.0%This article: 0.0%Meghana Keshavan: 0.0%STAT: 0.1%Circular Reasoning0.0%This article: 0.0%Meghana Keshavan: 0.0%STAT: 4.6%Hasty Generalization0.0%This article: 0.0%Meghana Keshavan: 3.0%STAT: 0.2%Red Herring0.0%This article: 0.0%Meghana Keshavan: 0.0%STAT: 0.4%Bandwagon0.0%This article: 7.9%Meghana Keshavan: 4.8%STAT: 3.6%Appeal to Emotion7.9%This article: 0.0%Meghana Keshavan: 0.0%STAT: 0.9%Begging the Question0.0%This article: 0.0%Meghana Keshavan: 0.0%STAT: 2.2%Post Hoc (False Cause)0.0%This article: 0.0%Meghana Keshavan: 0.0%STAT: 0.0%Tu Quoque0.0%This article: 0.0%Meghana Keshavan: 0.0%STAT: 0.7%Burden of Proof0.0%This article: 0.0%Meghana Keshavan: 0.0%STAT: 0.2%Appeal to Nature0.0%This article: 0.0%Meghana Keshavan: 0.0%STAT: 0.3%Composition/Division0.0%This article: 9.5%Meghana Keshavan: 3.0%STAT: 3.3%Anecdotal9.5%This article: 0.0%Meghana Keshavan: 0.0%STAT: 0.1%No True Scotsman0.0%This article: 1.3%Meghana Keshavan: 0.0%STAT: 2.1%Ambiguity (Equivocation)1.3%This article: 0.0%Meghana Keshavan: 0.0%STAT: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Meghana Keshavan: 0.0%STAT: 0.3%Middle Ground0.0%This article: 0.0%Meghana Keshavan: 0.0%STAT: 0.1%Personal Incredulity0.0%This article: 0.0%Meghana Keshavan: 0.0%STAT: 0.1%Special Pleading0.0%This article: 0.0%Meghana Keshavan: 0.0%STAT: 0.1%Genetic Fallacy0.0%This article: 0.0%Meghana Keshavan: 0.0%STAT: 1.5%Unattributed Quote0.0%This article: 0.0%Meghana Keshavan: 0.0%STAT: 0.9%Quote-first Misdirection0.0%This article: 0.0%Meghana Keshavan: 0.0%STAT: 6.0%Biased Writer Voice0.0%This article: 0.0%Meghana Keshavan: 5.2%STAT: 2.1%Indoctrination0.0%This article: 0.0%Meghana Keshavan: 0.0%STAT: 0.9%Politically Left Leaning Bias0.0%This article: 0.0%Meghana Keshavan: 0.0%STAT: 0.2%Politically Right Leaning Bias0.0%This article: 24.1%Meghana Keshavan: 15.2%STAT: 3.3%Attempt to Sell a Product or S…24.1%

315 words analyzed.

Speakers

6speakers51%attributed speech154writer words
Voice mapSelect a segment to jump to its words
Roche • 1 words • 0.0% coverageWriter's voice • 3 words • 0.0% coverageRoche • 5 words • 0.0% coverageARPA-H • 20 words • 0.0% coverageWriter's voice • 5 words • 0.0% coverageMeghana Keshavan • 6 words • 0.0% coverageMeghana Keshavan • 11 words • 0.0% coverageJohn • 17 words • 0.0% coverageWriter's voice • 3 words • 0.0% coverageWriter's voice • 8 words • 0.0% coverageWriter's voice • 13 words • 100.0% coverageWriter's voice • 10 words • 100.0% coverageARPA-H • 18 words • 0.0% coverageRoche • 24 words • 0.0% coverageWriter's voice • 11 words • 0.0% coverageWriter's voice • 19 words • 0.0% coverageSTAT+ • 3 words • 0.0% coverageWriter's voice • 4 words • 100.0% coverageWriter's voice • 2 words • 100.0% coverageSTAT+ • 7 words • 100.0% coverageWriter's voice • 13 words • 100.0% coverageWriter's voice • 4 words • 100.0% coverageWriter's voice • 5 words • 100.0% coverageWriter's voice • 4 words • 100.0% coverageWriter's voice • 4 words • 100.0% coverageSTAT+ • 10 words • 100.0% coverageWriter's voice • 9 words • 0.0% coverageWriter's voice • 5 words • 0.0% coverageWriter's voice • 2 words • 0.0% coverageWriter's voice • 2 words • 0.0% coverageSTAT+ • 13 words • 0.0% coverageSTAT+ • 10 words • 0.0% coverageWriter's voice • 3 words • 0.0% coverageSTAT+ • 4 words • 0.0% coverageWriter's voice • 8 words • 0.0% coverageAstraZeneca • 12 words • 0.0% coverageWriter's voice • 17 words • 0.0% coverage
Selected voice

STAT+

72%flagged-word coverage
47 attributed words29% of attributed speech74% writer coverage
0%20.0%40.0%Attempt to Sell a Product -2.1 ptsWriter: 38.3%STAT+: 36.2%36.2%

Attribution is sentence-level. Pattern percentages are calculated only from words assigned to that voice.

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Analysis

Hover over highlighted words in the article to view the associated bias or fallacy analysis.